SIPLAB: Sensing, Interaction & Perception Lab
The SIPLAB at ETH Zürich is an interdisciplinary research lab working on egocentric perception, computational interaction, and digital biomarkers. We advance mixed reality, robotics, human-computer interaction, and machine learning. We are part of the Department of Computer Science and the AI Center.
egocentric perception
scalable methods for action & motion tracking
computational interaction
decoding input intent for adaptive systems
digital biomarkers
signal processing for mobile health
Projects to appear and recent research
EgoPressure
Hand Pressure and Pose Estimation from Egocentric VisionCybersickness Detection Beyond Subjectivity
Continuous EEG-based Estimation using Multitaper SpectrumsContinual Human-in-the-Loop Optimization
Shifting the Paradigm
Achieving Shift-Invariancy for Deep Learning on Time SeriesRedefining Affordance
via Computational RationalityNightbeat
Heart Rate Estimation From a Wrist-Worn Accelerometer During SleepAffiliations and collaborations
We are part of the ELLIS Unit Zürich, the Max Planck ETH Center for Learning Systems (CLS), and ETH's Competence Centre for Rehabilitation Engineering and Science (ETH RESC). We are also affiliated with the Department of Information Technology & Electrical Engineering, HCI@ETH, and the Zurich Information Security & Privacy Center (ZISC).